506 results about "Health check" patented technology

The invention relates to an ERP non-core service migration method based on K8s dynamic resource scheduling, and belongs to the technical field of cloud computing containerization and ERP system optimization. The method comprises the following steps: identifying a non-core module based on business criticality, and generating a migration list; an internal interface is transformed into a standard API gateway route, and strong dependency communication is asynchronously decoupled through a message queue. Historical resource load data is collected, a periodic rule is extracted by using a time sequence decomposition model, a reference value is set, and a K8s scheduling parameter is generated. Adopting multi-stage construction to separate compilation and operation environments, and generating a lightweight mirror image; and implementing security reinforcement, and dynamically updating the health examination probe and configuration. Selecting a controller according to stateless and persistent requirements; the locality of NUMA domain resources is optimized through topology awareness scheduling; dynamic storage binds a persistent volume according to QoS; the network policy implements container-level traffic isolation. And dynamically adjusting the resource quota and the number of copies. The efficient and safe migration of the ERP non-core business in the K8s environment is realized.

The invention discloses an optimized registration method and system based on a micro-service architecture. The invention relates to the technical field of Nacos systems. The health monitoring center is started and starts to send a health examination request to a downstream service at regular time; the gateway access layer service receives a client request; obtaining a network address of a target service instance through a Nacos service discovery mechanism according to a service name in the request; then forwarding the request to a target service instance for processing; when the configuration information is changed, the Nacos configuration management center pushes an update notification to all subscribed service instances; the service instance pulls the latest configuration information and updates the local cache; according to the method, a secondary hand waving mechanism is implemented in Nacos cluster node, gateway service and downstream service communication, so that the offline condition of the downstream service can be accurately judged, and the problem of data inconsistency caused by node faults or network partition is avoided.

An information handling system includes a baseboard management controller (BMC), an I / O device, and a BIOS. The BIOS initializes a parameter of the I / O device with a particular value, and includes an I / O health check module. Each time the BIOS initializes the first parameter, the I / O health check module receives the particular value, determines whether or not the particular value is within a predetermined range of values, and provides the particular value to the BMC. The BMC logs the values from each time the BIOS initializes the parameter, determines a health status for the information handling system based upon the logged values, and provides an indication of the health status.

The invention discloses an intelligent lock face privacy processing method and system, and the method comprises the steps: an intelligent lock A detects a plurality of faces, and carries out the face segmentation and recognition comparison; if the comparison is successful, performing face privacy processing; if the comparison fails, collaborative privacy processing is carried out; after the other intelligent locks receive the multicast message, the unmatched face images are compared, and if comparison succeeds, face privacy processing is carried out; the intelligent lock A counts a multicast reply message, and if an unreplied intelligent lock exists, a query request is sent to the independent transfer gateway; the independent transfer gateway performs health check, and sends a prompt reply message to the intelligent lock which succeeds in health check; and the intelligent lock A integrates the reply message and the privacy processing result, encodes and generates a video image data stream, and sends the video image data stream to the platform for decoding processing. By using the embodiment of the invention, the protection of the face privacy of the owner can be ensured.

To provide a system.SOLUTION: A system includes: means for analyzing numerical data included in the result of health screening provided by a user that indicates the health state of the user; means for inputting a specific prompt sentence to a generative AI model and thereby providing, on the basis of the analysis result, advice on the health habit and meal of the user and the exercise performed by the user, as advice on the health of the user; means for providing, on the basis of the analysis result, the user with a one-week recipe customized in conformity with the heath state of the user; means for analyzing the photographs of the meal registered by the user and proposing a plan for improving the meal of the user; and optimization means for optimizing the advice on health and the recipe on the basis of emotion by using an emotion engine that recognizes the emotion of the user and the generative AI model.SELECTED DRAWING: Figure 1

The invention relates to the technical field of cloud computing, in particular to a cross-domain PaaS cloud platform distributed architecture scheduling method and system. The method comprises the following steps: carrying out architecture design and deployment, deploying a main node, a standby node and an arbitration node in different data centers, and configuring network connection; carrying out load balancing configuration, setting a load balancer and a health check mechanism, and regularly detecting the state of a service node; designing a scheduling strategy, and designing a scheduling algorithm according to the node load condition, the resource utilization rate and the response time; and carrying out distributed database deployment and formulating an availability strategy, including configuring an arbitration node and designing a database availability strategy. High availability of the system is achieved through multi-data center deployment, the overall performance of the system is improved through intelligent load balancing and dynamic resource scheduling, data consistency and service continuity are ensured through an arbitration mechanism, the technical problems of a traditional PaaS architecture in the aspects of cross-region deployment, resource scheduling and disaster recovery are solved, and the system is suitable for large-scale popularization and application. And cross-domain multi-activity, intelligent scheduling and automatic disaster recovery are realized.

The invention discloses a method for micro-service delayed registration in a container environment, and particularly relates to the technical field of micro-service delayed registration, which comprises the following steps of: closing a micro-service registration process during operation, and modifying a registration switch enable into false based on Spring operation enhancement capability; then a micro-service registration process is self-defined, an original registration mechanism is terminated under the processing of the A1 process, and the registration process is triggered once a self-defined micro-service registrar monitors a registration event, so that the effect of delaying registration is achieved; checking a micro-service registration process and a micro-service and container life cycle alignment process, and starting a probe by the container to perceive a micro-service registration state; and finally, on the basis of a micro-service registration inspection process, a new health inspection mechanism is introduced, and the registration state is dynamically adjusted by regularly detecting the health condition of the micro-service. And the self-defined micro-service registration process is expanded, so that the registration mechanism is more flexible and controllable.

The present invention relates to a heating ventilation air conditioning (HVAC) monitor. The HVAC monitor queries a power database for historical and recovery power data and determines an average and daily power consumption of a customer premises. The HVAC monitor predicts the operational state of an HVAC system based on a comparison of the daily power consumption and average power consumption and triggers an alert for initiating remedial operations if the operational state of the HVAC system is below a performance threshold.

According to the unified communication system provided by the invention, the stable communication connection between the client and the platform is realized through the end-side SDK module, the underlying protocol difference is shielded, and the complexity of multi-protocol adaptation is reduced. The registration center module and the service discovery middleware work cooperatively to perform automatic registration and health check on the service instance, so that the health state of the routing target node is ensured, the request is prevented from being distributed to the fault instance, and the reliability of the system is improved. The load balancing service module serves as a unified communication entrance, processes all flows in a centralized manner, reduces the number of externally exposed ports of the system, shrinks a network attack surface, and enhances security. The platform SDK module provides an interactive interface for the service platform, so that the service platform does not need to care about complex communication details, and the service development efficiency and the system maintainability are improved. The management service web platform provides a centralized visual management and control interface for all the modules, convenient management of plug-ins, SDKs and system configuration is achieved, and the operation and maintenance difficulty is reduced.

Systems and methods for automatic network health check are disclosed herein. A method for performing an automatic health check includes determining to perform a health check on a portion of a communications network, the communications network including a plurality of hosts that each include a routing agent and an advertising agent. The method includes adding a test route indicated as applicable to every host and pointing to an IP address to a database, and receiving the test route from the database with the routing agents of at least some of the plurality of hosts. The method includes providing the test route from the routing agent to the advertising agent, advertising the test route with of the at least some of the plurality of hosts to a plurality of switches within the communications network, and determining success of health check based on information received from the plurality of switches.

The invention discloses a node detection method and device, electronic equipment and a storage medium, and relates to the technical field of distributed systems.The method comprises the steps that a current node confirms the node type of the current node; the node type comprises a master node type and a slave node type; in response to the fact that the node type is the master node type, performing multi-level health check on slave nodes attached to the current node; the examination types and the examination frequencies of all levels of health examinations are different; judging whether the slave nodes pass multi-level health examination or not; in response to the judgment that the slave node does not pass the multi-level health check, taking the slave node as a to-be-checked node, and scheduling other slave nodes to perform health state check on the to-be-checked node; and in response to other slave nodes feeding back that the to-be-verified node does not pass the health state verification, marking the to-be-verified node as an abnormal node and removing the abnormal node from the current cluster. The technical problem that a traditional heartbeat detection mechanism is insufficient in precision is solved, and the technical effect of improving node state judgment reliability and anti-interference capability is achieved.

Disclosed is a health check system for a storage capacitor that checks the status of the storage capacitor without additional discharging in a switching duration of a switching converter that charges the storage capacitor.

The invention relates to the field of time capsule interaction, and discloses a time capsule interaction method and system, and the method comprises the steps: carrying out the logic unit segmentation of a to-be-sealed content, and building an encryption baseline which continuously evolves along with a time factor; under the support of an encryption baseline, performing fragmentation processing on the evolved and encrypted content, and triggering copy reconstruction through a witness mechanism when a node failure is detected; on the basis of a content storage link, continuously executing periodic health check in a storage period, and generating a state index in combination with a node online rate, key evolution integrity and user interaction history; when the key has an unrecoverable risk in the state index, triggering a multi-role collaborative recovery mechanism, and requiring a user side to submit a standby identity certificate; and after missing key reconstruction is completed, when preset opening time arrives, decryption operation is executed based on the key set which is finally evolved and completed and the recovered fragments, and an opening response with an interaction attribute is generated. The method has the advantage of improving the trust of the user.

The invention discloses a driving risk prediction system, equipment and device based on a physical examination report, and belongs to the technical field of medicine and driving safety. The system comprises a data acquisition module used for acquiring a driver health examination report and traffic accident data; a data processing module; the accident occurrence probability calculation module adopts a generalized linear model based on Logistic regression to calculate a p value of the model; the p value represents the conditional probability of an accident calculated under a given characteristic condition; the accident occurrence frequency calculation module is used for calculating a regression coefficient of each physical examination index by adopting a generalized linear model based on Poisson regression; and the result analysis module is used for analyzing calculation results of the accident occurrence probability calculation module and the accident occurrence frequency calculation module, and is used for guiding actual driving behaviors. According to the invention, the health examination information of the driver can be associated with the driving risk, and the probability and number of the driving risk can be predicted, thereby helping to improve the driving safety.

The invention discloses a server health examination method and device, equipment and a medium. The method comprises the following steps: acquiring hardware layer data, system layer data, application layer data and physical environment layer data of a target server through a data acquisition component; determining a current value and a predicted change range of each health index regularly, and determining a current health level and a predicted health level range of the target server according to the current value and the predicted change range of each health index; when the current health level belongs to an abnormal level, executing a self-healing operation corresponding to the current health level; and when the predicted health level range contains an abnormal level, executing an early warning operation. According to the embodiment of the invention, real-time quantitative evaluation, abnormity prediction, early warning and automatic repair of the health state of the server can be realized, health evaluation and health pre-judgment can be comprehensively and accurately carried out on the server, and the operation stability of the server is improved.

The present invention extends to methods, systems, and computer program products for predictively addressing hardware component failures. Network packets can be received over time at a platform. Metrics derived from platform hardware components and derived from one or more workloads utilizing the platform hardware components can be monitored. Model training data can be formulated from the metrics. A health check model can be trained using the model training data. The health check model can be executed to compute a probability that a monitored platform hardware component is on a path to failure. It can be determined that the probability exceeds a threshold. A workload can be relocated from a pod containing the monitored platform hardware component to another pod. Additional network packets can be received over time at the platform. The workload can process data contained in the additional network packets at the other pod.

According to one aspect, a method includes: receiving, by a node of a computer cluster, a command for a health status report, the node having a plurality applications and being one of a plurality of nodes of the cluster, the command indicating a class of a health checks to be executed and a scope; identifying, from a configuration, one or more health checks to be executed based on the indicated class; executing the one or more health checks on one or more of the applications and on one or more of the nodes of the cluster according to the indicated scope, where different ones of the health checks are configured to determine state of different ones of the applications; aggregating, by the node, results of the executed health checks; and outputting the aggregated results.

The invention discloses a multi-dimensional information-based adaptive gateway traffic scheduling method, which comprises the following steps of: acquiring server performance indexes, network delay, bandwidth and geographic position data in real time, and establishing a historical database; performance load weights are generated through weighted calculation of CPU, memory and disk indexes, and routing priorities are dynamically adjusted by adopting exponential function mapping; performing normalization processing on network bandwidth, delay and geographic distance, and calculating a service access weight to optimize a transmission path in combination with a step function; analyzing historical traffic data based on an LSTM model to predict a future trend, and generating a traffic prediction weight through a sigmoid function to realize pre-equalization; and combining the three types of weights, weighting to generate dynamic routing configuration, eliminating abnormal nodes in real time in combination with a health check mechanism, triggering high-load early warning and linking a predictive balancing strategy. According to the method, multi-dimensional index collaborative decision-making is realized, routing distribution is dynamically optimized, network delay is effectively reduced, and system throughput and stability in a high-concurrency scene are improved.

The present invention relates to a system and method for monitoring and restricting smartphone usage among children, enhancing parental oversight and mental health support. The system includes internet-connected central servers executing monitoring software from non-transitory media, paired with specialized child devices and generic parental devices. These devices facilitate real-time and recorded monitoring of smartphone activities, including application usage, screen time, and internet access. The child devices are equipped with customized operating systems and software that prevent bypassing parental controls. Parental devices can access detailed analytics and live streams of child device activity. The system also incorporates machine learning algorithms to trigger mental health checks based on application usage patterns. These checks involve interactive mental health questionnaires, mindfulness exercises, and emergency interventions, providing timely support tailored to the child's activities and mental state. This invention offers a comprehensive solution to digital parenting challenges.

The invention discloses a vehicle key cabinet based on driver health examination and a using method thereof, and relates to the field of vehicle management. The vehicle key cabinet based on driver health examination comprises a vehicle key cabinet unit, a touch operation screen, a multi-mode verification module, a health detection module and a key sensing module, the vehicle key cabinet unit comprises a key cabinet main body and a key placing lattice, and the key placing lattice is used for placing a vehicle key; the multi-mode verification module is used for verifying the identity of a driver, the health detection module is used for detecting the health state of the driver, and the key sensing module is used for sensing whether a key is in place or not. According to the vehicle key cabinet based on driver health examination, the multi-mode verification module is utilized to pass face, fingerprint and card triple-modular redundancy verification, the safety risks of false claim and embezzlement are effectively prevented, the health detection module is utilized to monitor the health state in real time, and dangerous driving behaviors of drunk driving and fatigue driving are completely eradicated from the source of physiological indexes.

A technique to monitor device health of endpoints in a VLAN is disclosed. A security appliance is set as the default gateway for intra-LAN communication. Message traffic is analyzed and anomalies are detected relative to normal message traffic that correspond to device health problems that may require service by a field technician.

The invention relates to the technical field of financial database processing systems, and discloses a financial database processing and analyzing system with a data protection function, which comprises a system architecture design module, a data protection strategy module, a data processing and analyzing module and a security scale module. The invention relates to a financial database processing and analyzing system which improves performance and data processing capacity and ensures data safety and privacy. The system realizes high availability and stability through technologies of read-write separation, fault transfer, health examination and the like; data protection strategies such as dynamic desensitization, secondary authorization and encryption further guarantee data security; the data processing and analysis module is combined to enhance the data processing and analysis capability of financial services, and the security and scale module ensures the overall security of the system; compliance evaluation ensures that the system conforms to related laws and regulations; in short, the system provides an efficient, safe and compliant data processing analysis scheme for the financial industry.

A battery inspection and management method includes inspecting a target battery at a first time point to generate health inspection data, uploading the health inspection data to a cloud database, determining a classification status of the target battery based on the health inspection data with a preset health range and generating a label for attachment on the target battery, and inspecting the target battery at a second time point later than the first time point to update the health inspection data of the target battery in the cloud database. A battery inspection and management system includes an inspection device, a computing device, and a label printer, wherein the computing device is connected to the inspection device and the label printer.

The invention provides a server load balancing method and device, a medium and a program product, and a specific implementation mode of the application comprises the steps that after a load balancer receives a task request, attributes such as basic types (authentication, authorization and charging), priorities and protocol versions of the request are analyzed firstly; meanwhile, the resource utilization rate, response time, health state and other information of the server cluster are monitored in real time, a dynamic strategy decision tree is constructed based on the data, in addition, the load balancer sends a health check request to the server regularly, whether the server breaks down or not is judged according to the state information returned by the server, and the service life of the server is prolonged. And if a fault exists, removing the fault from the request allocation list to ensure that the request is always allocated to the available server. According to the method, the dynamic adjustment of the load balancing strategy and the update of the request allocation list are realized, and the resource utilization rate of the server is improved so as to cope with the rapidly changed request load and flow mode.

Embodiments disclosed herein utilize biometric verification from wearable devices to approve access for shared spaces. Requests to occupy the shared spaces are received and conditional reservations are made pending health checks of the requesters. Prior to occupation, fresh biometric measurements are captured via the user's wearable device, which include physiological signals validating both ongoing good health as well as identity match to the original requester. When recent biometric verification indicates both healthy status and unchanged identity, access to the reserved space is approved. These embodiments securely manage reservations while protecting the health of other occupants through conditional access related to the requester's current health condition.

Disclosed are techniques and systems for automatically determining and correcting the levelness of a wafer handling robot end effector. The systems may use a tilt sensor or a gravitational field sensor which may be calibrated to the wafer handling robot. The output from the tilt sensor may be used to determine or estimate the tilt of an end effector of the wafer handling robot and to perform correctional positioning to reduce or eliminate the tilt, to automatically teach certain positions that have reduced tilt, to perform health checks on the robot, provide feedback to a user, etc.

A method and system for receiving, at an application function of a core network from a user equipment (UE) device communicatively coupled to an automated vehicle, a navigation destination for the automated vehicle; conducting, via one or more intelligent platforms, a network health check and route validation process to determine an optimized route from a current location of the automated vehicle to the received navigation destination based on communication network traffic data; assigning, at the application function, an optimized route with network quality (NQ) assurance; and transmitting, to the UE device, an instruction message containing the assigned optimized route.

The invention provides a server delivery and operation and maintenance automation system oriented to multi-platform collaboration, and aims to solve the problems of split delivery process, lagging expansion response, high operation and maintenance complexity and the like in a heterogeneous infrastructure environment. According to the system, by constructing a multi-platform adaptive abstraction layer, bottom layer differences of private cloud, job scheduling platforms and the like are shielded, and unified modeling and standardization of delivery and operation and maintenance processes are achieved; on the basis, key links such as installation file generation, expansion file generation, configuration injection and deployment verification are integrated, an end-to-end one-key delivery assembly line is built, and rapid and consistent deployment of a cross-platform environment is supported; meanwhile, an automatic operation and maintenance closed loop is constructed, and operation and maintenance operations such as health examination, fault warning, configuration repair, service restart, node replacement and elastic capacity expansion and contraction are automatically executed by collecting operation states, logs and performance indexes of the server and the service in real time and combining a preset strategy or an intelligent analysis model. By means of the method, efficient delivery and intelligent capacity expansion of server resources are achieved, and the autonomous operation and maintenance capacity, the high availability and the service continuity guarantee level of the system in a complex multi-platform mixed deployment scene are remarkably improved.

An AC power source is controlled to inject an AC signal to a current sensor. In one embodiment, the AC power source is capacitively coupled to the current sensor. An output of an arc fault detection circuit is received. In one embodiment, the arc fault detection circuit is coupled to the current sensor, and wherein the arc fault detection circuit is configured to detect a presence of an arc based at least in part on the current sensor. It is determined whether a fault in the arc fault detection circuit is present based at least in part on an evaluation of the output of the arc fault detection circuit.

The invention discloses an elevator health prediction method and system based on deep learning, and relates to the technical field of health prediction of special equipment. Comprising the steps of obtaining operation state data of a to-be-evaluated elevator in multiple operation processes; collecting the fault operation state data of the to-be-evaluated elevator to obtain a training set, and collecting the normal operation state data to obtain a verification set; constructing a health life prediction network; inputting the training set into a health life prediction network, and updating network weight parameters through a loss function to obtain a trained health life prediction model; and inputting the verification set of the to-be-evaluated elevator into the trained health life prediction model, evaluating the health life prediction result of the elevator, and outputting the health life condition level of the elevator. Multi-dimensional health inspection on the elevator is facilitated, the health condition of the elevator is scientifically analyzed, potential safety hazards of the elevator and safety parts are pre-judged, life health prediction of the elevator in the whole life cycle is achieved, and elevator safety accidents are reduced.